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» Clustering the annotation space of proteins
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BMCBI
2007
140views more  BMCBI 2007»
13 years 9 months ago
Evaluation of high-throughput functional categorization of human disease genes
Background: Biological data that are well-organized by an ontology, such as Gene Ontology, enables high-throughput availability of the semantic web. It can also be used to facilit...
James L. Chen, Yang Liu, Lee T. Sam, Jianrong Li, ...
CIKM
2005
Springer
14 years 2 months ago
Semantic similarity over the gene ontology: family correlation and selecting disjunctive ancestors
Many bioinformatics applications would benefit from comparing proteins based on their biological role rather than their sequence. In most biological databases, proteins are alrea...
Francisco M. Couto, Mário J. Silva, Pedro C...
EMNLP
2006
13 years 10 months ago
Learning Phrasal Categories
In this work we learn clusters of contextual annotations for non-terminals in the Penn Treebank. Perhaps the best way to think about this problem is to contrast our work with that...
William P. Headden III, Eugene Charniak, Mark John...
BMCBI
2008
164views more  BMCBI 2008»
13 years 9 months ago
Word correlation matrices for protein sequence analysis and remote homology detection
Background: Classification of protein sequences is a central problem in computational biology. Currently, among computational methods discriminative kernel-based approaches provid...
Thomas Lingner, Peter Meinicke
JAIR
2010
94views more  JAIR 2010»
13 years 7 months ago
Which Clustering Do You Want? Inducing Your Ideal Clustering with Minimal Feedback
While traditional research on text clustering has largely focused on grouping documents by topic, it is conceivable that a user may want to cluster documents along other dimension...
Sajib Dasgupta, Vincent Ng